Software Engineer

4 days ago

Lahore, Punjab, Pakistan Simplelogix Full time 1,200,000 - 3,600,000 per year

Location: On-site

Time: 5pm- 2am

Employment Type: Full-time

About the Role

We are looking for a highly skilled AI Engineer with at least 5 years of experience to conduct the development of our proprietary AI platform. This role will involve designing, training, fine-tuning, and deploying large-scale AI models, while working with cross-functional teams to build innovative applications that enhance productivity and intelligence across our organization.

Key Responsibilities


• Design & Develop AI Models: Architect, train, and fine-tune large language models (LLMs) and generative AI systems.


• Model Deployment: Build scalable APIs and services to integrate AI into real-world applications (chatbots, copilots, automation tools).


• Data Engineering: Collect, clean, and prepare large datasets for training and fine-tuning models.


• Experimentation: Conduct research and experiments with state-of-the-art AI techniques (transformers, embeddings, reinforcement learning from human feedback (RLHF), RAG pipelines).


• MLOps & Infrastructure: Deploy and monitor models in production using cloud services, GPUs/TPUs, and distributed training frameworks.


• Optimization: Apply quantization, pruning, and other model compression techniques to optimize performance.


• Security & Compliance: Ensure AI systems comply with ethical guidelines, data privacy, and regulatory frameworks.


• Collaboration: Work with product managers, software engineers, and domain experts to deliver AI-driven solutions.


• Continuous Learning: Stay current with cutting-edge research, frameworks, and AI trends.

Required Skills & Qualifications


• Education: Bachelor's/Master's in Computer Science, Artificial Intelligence, Data Science, or a related field (PhD preferred but not mandatory).


• Programming: Strong in Python; solid knowledge of data structures, algorithms, and software engineering best practices.


• AI/ML Frameworks: Expertise in PyTorch, TensorFlow, and Hugging Face Transformers.


• NLP & LLMs: Hands-on experience with transformer models (BERT, GPT, LLaMA, etc.), embeddings, tokenization, and fine-tuning.


• Generative AI: Experience with text generation, code generation, conversational AI, or multimodal AI.


• MLOps & Deployment: Familiarity with Docker, Kubernetes, MLflow, Weights & Biases, Ray, or similar tools.


• Cloud & Infrastructure: Proficiency in Azure, AWS, or GCP for AI workloads (GPU/TPU usage, distributed training).


• Data Handling: Strong knowledge of data preprocessing, pipelines, and vector databases (FAISS, Pinecone, Weaviate).


• Optimization: Knowledge of model efficiency techniques (quantization, distillation, pruning).


• Security & Ethics: Awareness of AI governance, fairness, bias detection, and compliance (GDPR, CCPA, AI Act).

Preferred Skills (Nice-to-Have)


• Experience with Retrieval-Augmented Generation (RAG) and integrating LLMs with knowledge bases.


• Understanding of multimodal AI (text, vision, speech).


• Contributions to open-source AI projects or published research in top AI/ML conferences.

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